Originally developed for use in meteorology and topography, lidar technology is now used in automotive sensors, enabling autonomous vehicles (AVs) to "see" and safely handle complex driving situations.
Keysight LTS solution suite
Similar to radar-based systems, lidar sensor manufacturers must ensure that lidar systems detect objects quickly and reliably, enabling advanced driver assistance systems (ADAS) to function accurately before bringing them to market.
Currently, to accurately test sensors, designers need ample space and the use of traditional target boards. Furthermore, the industry faces the need to reduce sensor costs and achieve large-scale mass production.
The Keysight LTS solution addresses these challenges by simulating measurement targets at predetermined distances and reflectance coefficients with a compact and standardized instrument bench setup. This solution is designed to simplify and shorten the time required for measurement, validation, and lidar sensor production through standardization and automation.
Keysight's solution also boasts the advantage of a small size and support for large measurement distances – the compact instrument table design saves measurement space by simulating targets at distances from 3 meters to 300 meters and simulating surface reflectivity coefficients from 10% to 94%.
Thomas Goetzl, Vice President and General Manager of Keysight's Energy and Automotive Solutions division, said: "Keysight recognizes the crucial role lidar plays in supporting more precise autonomous vehicle control by adding a supplementary sensor to cameras and radar. With a lidar target simulator capable of simulating changes in reflectivity and distance to a target, we are poised to support the widespread deployment of lidar technology with a scalable in-production measurement solution."
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